3 Mehrfachbelichtetes PIV BildThe images of the tracer particles are recorded at least twice with a small time-delay. The displacement of the particle images represents the fluid motion.

4 Doppebelichtetes Bild Korreltations-bereichPIV AnalyseRPRD+RD-RC+RFDoppebelichtetes BildKorreltations-bereichÖrtlicheKorrelationPIV images are analyzed by subdividing the image into small interrogation regions. Each interrogation region contains many particle-image pairs. It is not possible to find individual matching pairs, because the displacement is greater than the mean spacing between particle images. Therefore a statistical method is used to find the particle-image displacement. By computing the spatial auto-correlation for a double-exposure image, the correlation domain contains three dominant peaks (provided that a sufficient number of particle images is present within the interrogation region, and that the displacement is almost uniform over the interrogation region): a central self-correlation peak, and to displacement-correlation peaks on either side of the self-correlation peak. The location of the displacement-correlation peak yields the particle-image displacement. (A 180-degree directional ambiguity occurs due to the symmetry of the auto-correlation.)Örtliche Korrelation:W… TeilchenverteilungI… Intensität

5 PIV Ergebnis Turbulente Rohrströmung Re = 5300 100×85 VektorenWhen the entire image is interrogated the instantaneous flow field in a planar cross-section of the flow is obtained. After subtracting the mean flow it is possible to observe coherent flow patterns in the velocity fluctuation field.

6 GeschwindigkeitsfelderPlanar PIV data can be used to compute the out-of-plane component of the vorticity vector, which can be used to identify flow structures.

8 VerschiebungsfeldDie Fluidbewegung entspricht einer Teilchenbewegung dessen Verschiebung gemessen wirdTeilchenbahnStrömungslinieFor an optically homogeneous fluid, it is not possible to observe the fluid motion directly. It is therefore necessary to add tracer material that serves as scattering sites for the light.Ideal tracers do not alter the flow or the fluid properties, and follow the motion of the fluid exactly.The motion of the fluid can now be detected as a displacement of the tracer particles; we thus measure the velocity indirectly.This introduces an error.Ref.R.J. Adrian, “Limiting resolution of particle image velocimetry for turbulent flow” in: Advances in Turbulence Research (1995) 1-19.

9 Geschwindigkeit aus Tracer-GeschwindigkeitenNiedrige PartikeldichteNI << 1Particle tracking velocimetryHohe PartikeldichteNI >> 1The motion of the fluid is visualized by the motion of small tracer particles added to the fluid. These tracer particles constitute a pattern that can be used to evaluate the fluid motion.If the density is very low (i.e., the distance between distinct particles is much larger than the displacement) then it is very easy to evaluate the displacement from individual tracer particles.This mode of operation is generally referred to as low image density PIV (or, particle tracking velocimetry).However, in this manner the amount of information that can be retrieved from an image is very low.If we increase the concentration of tracer particles, then their displacement becomes larger than their spacing, and it is no longer possible to identify matching pairs make unambiguously.This mode of operation is generally referred to as high image-density PIV.NOTE: under this consideration, laser speckle velocimetry is also high image-density PIV.Particle image velocimetry

10 “Ablauf einer PIV” Strömung Einlesen seeding Bearbeitung PixelBelichtungSchärfenDatenaufnahmeFotoAuswahlErfassungKorrelationBerechnungA theoretical description of PIV involves many different disciplines, such as fluid mechanics, optics, image processing and signal analysis.Each of these subsequent steps has influence on the representation of the fluid motion with respect to the observed images.BerechnungErgebnisAuswertungKontrolle